Building Data-Driven Web Apps with Pyramid and SQLAlchemy Transcripts
Chapter: MongoDB edition
Lecture: MongoDB entities
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0:00
With our connection all set up and in place
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it's time to start creating our models.
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Remember, over here, we had like a Package and the User.
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The User was pretty simple, we can go with that.
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So, we created a class
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it derived from a certain base class
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we gave it a little meta information
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and we declared the columns, their types
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and their behaviors, whether they're primary keys and so on.
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We'll do exactly the same thing for MongoEngine.
0:23
That looks like it's going a little crazy
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let me just restart PyCharm so it gets its cache
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for auto-complete corrected.
0:32
Ah, better, looks like it now knows about everything.
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Every now and then PyCharm goes a little wonky
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and loses some stuff there. So it's good.
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Now let's go create the equivalent
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of this User class over an our nosql.
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Call it users, we're going to keep exactly the same file names
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that'll help us a little bit in conversions
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and then we're going to import mongoengine
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just like we imported SQLAlchemy.
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We're going to create a class, called User
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and it's going to drive from mongoengine.Document.
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We're don't have tables, we have a records
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we have documents in MongoDB.
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It has an implicit id, which is going to be fine
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for the primary key and it'll auto-generate that for us.
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We don't have to say that like we do over here.
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Put these other things, let's put them across.
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So we want to name
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and SQLAlchemy obviously is not what we want.
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We're going to use mongoengine
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and this time we're going to have a StringField
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and we could say required equals False
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to match this nullable is True
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but unless we say required is True
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it's going to be effectively nullable by default.
1:41
So the top one and these two lines, four and five, same
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and we'll do the same for email.
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Nullable, now notice this index down here
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we don't put the index here, we put it somewhere else
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so I'm going to just put a little comment here.
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Index, nullable, let's just keep going.
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This is real similar, it's a string. Just like that.
2:05
This is a datetime, we know what that looks like.
2:09
We have a DateTimeField, and guess what
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we have default values, just the same.
2:16
So hopefully this feels super comfortable to you
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because you know it's really very, very little difference.
2:22
Again, a StringField, actually we never use this.
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Let's just drop that one and same for this.
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Let's just go with this.
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So final thing to tie these together.
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Over here we controlled stuff
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by saying we want this to be in the users table like this.
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On this version we do it a little bit different.
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We have a meta dictionary in here
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and it's not really obvious
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but we're going to set some keys.
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We're going to say db_alias
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that's the alias we set before
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and it was core, remember, this is the one?
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You can have multiple connections to different databases
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and say these entities go here or there.
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This is how you do it SQLAlchemy
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you would have different base classes
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whereas on this one
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you have different connection aliases.
3:01
Then the table name is now Collection
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'cause we don't have tables we have collections.
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And this is going to be users.
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And then remember the index is up here.
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We had email and hashed_password.
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Want to set that to an array of just the names
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email, hashed_password.
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Maybe we also want one for created date, just to be safe.
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We want to find the newest users or something like that.
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There we go then we can get rid of these bits here.
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Done, that's it!
3:27
Let's see really quickly how we just use this.
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I'm just going to throw this into the most wrong place
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there possibly is, right in the init_db.
3:36
Well let's suppose we wanted to create a new user
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and first of all
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I'm going to connect to this thing called Robo 3T.
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I already have MongoDB running
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and Google how to do that for your OS on how to set that up
3:46
or go check out the other courses.
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So you notice we have this PyPI Demo full thing
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that I already made.
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This one actually has more data.
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We can play with it later
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but notice around here there's no pypi_nosql.
4:02
Database doesn't exist yet, right?
4:04
So, when we begin to talk to it the first time
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MongoEngine will create the database
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and configure the tables with the indexes
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and names, and things like that.
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So let's say that's just really quick.
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So here we've created a new user.
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Now rememeber in SQLAlchemy
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we have what's caled the unit of work pattern.
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MongoEngine is more like Django style
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in that it follows what's called active record.
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In that pattern, we work in individual documents more.
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So we'll juts come over here and go user.save()
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and that'll insert it into the database.
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So by starting the website
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it's going to run this code which is going to talk to MongoDB
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create the database, create the tables
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and insert it all in one shot.
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Let's go.
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Great, we registered our development connection
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and it didn't crash so that probably worked.
4:59
Let's see.
5:00
Right, go in refresh.
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There's our nosql.
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Here's our one collection.
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Here's our indexes.
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And let's go find our user.
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There, not super interesting
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nothing embedded or anything like that
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it's just a stardard record but there it is in the database.
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You can see the ID is automatically created.
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The defaulte value is set on the created date
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and then these are the two I entered.
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Super easy to work with, right?
5:23
There's not a whole lot of value
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for you seeing me to do that for each one of these
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so let me just drop in all of these entities
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because they're all the same.
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We'll talk through anything that's interesting, okay?
5:37
Okay, so now you can see we've got them all.
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We've got our mongo_setup we added
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that didn't change.
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Our users, pretty much the same thing.
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Here's our releases, it's all good.
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So you can see these are all pretty standard.
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The one that gets kinda intereseting
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and let's go look at packages real quick.
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So over here this stuff is all sort of columner
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you know, standard real column type stuff
6:00
but this one, check this out.
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This is a list field.
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So this is that embedded relationship of maintainers.
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In SQLAlchemy we have packages, we have users
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and we have another table called maintainers
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that is mapping the many-to-many relationship between them.
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This one line right there avoids that other table
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avoids those joins
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and does that many-to-many mapping perfectly.
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And of course we'll want to have some kind of index on this.
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So maybe maintainers just like that.
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Alright, so let's run this again.
6:32
So it looks like it's working, right?
6:33
Man, now let's see how much we've got going on over here.
6:36
Did this fill up all the tables?
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Now we haven't interacted with the others
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so nothing's happening yet.
6:40
If we click it, not so much.
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None type is not callable.
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You know what that is?
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That is us trying to work
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with our session factory in SQLAlchemy.
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So our next step is going to be going
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let's show you where this is.
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This is in our package service.
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Our next step is going to be to take these data
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these new entities that we've created
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and rewrite our data access layers.
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Maybe that sounds not very fun.
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It turns out it's almost no work.
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It's amazing. So we're going to do that
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and then we'll pretty much have our app running.
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It'll have no data, but it'll be up and running.
